issue_comments: 78211171
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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| https://github.com/pydata/xarray/issues/364#issuecomment-78211171 | https://api.github.com/repos/pydata/xarray/issues/364 | 78211171 | MDEyOklzc3VlQ29tbWVudDc4MjExMTcx | 167164 | 2015-03-11T06:17:10Z | 2015-03-11T06:17:10Z | NONE | Ok, weird. That example works for me, but even if I take a really short slice of my data set, the same thing won't work: ``` In [61]: d = data.sel(time=slice('2002-01-01','2002-01-03')) d Out[61]: <xray.Dataset> Dimensions: (time: 143, timeofday: 70128, x: 1, y: 1, z: 1) Coordinates: * x (x) >f8 1.0 * y (y) >f8 1.0 * z (z) >f8 1.0 * time (time) datetime64[ns] 2002-01-01T00:30:00 ... * timeofday (timeofday) timedelta64[ns] 1800000000000 nanoseconds ... Data variables: SWdown (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 14.58 ... Rainf_qc (time, y, x) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... SWdown_qc (time, y, x) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... Tair (time, z, y, x) float64 282.9 282.9 282.7 282.6 282.4 281.7 281.0 ... Tair_qc (time, y, x) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... LWdown (time, y, x) float64 296.7 297.3 297.3 297.3 297.2 295.9 294.5 ... PSurf_qc (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... latitude (y, x) float64 -35.66 Wind (time, z, y, x) float64 2.2 2.188 1.9 2.2 2.5 2.5 2.5 2.25 2.0 2.35 ... LWdown_qc (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... Rainf (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... Qair_qc (time, y, x) float64 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... longitude (y, x) float64 148.2 PSurf (time, y, x) float64 8.783e+04 8.783e+04 8.782e+04 8.781e+04 ... reference_height (y, x) float64 70.0 elevation (y, x) float64 1.2e+03 Qair (time, z, y, x) float64 0.00448 0.004608 0.004692 0.004781 ... Wind_qc (time, y, x) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... Attributes: Production_time: 2012-09-27 12:44:42 Production_source: PALS automated netcdf conversion Contact: palshelp@gmail.com PALS_fluxtower_template_version: 1.0.2 PALS_dataset_name: TumbaFluxnet PALS_dataset_version: 1.4 In [62]: d.groupby('timeofday').mean('time') ``` That last command will not complete - it will run for minutes. Not really sure how to debug that behaviour. Perhaps it's to do with the long/lat/height variables that really should be coordinates (I'm just using the data as it came, but I can clean that, if necessary) |
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